I am new to the parallel programming world. Are there any multicore simulators with proper documentation that support MPI? Please let me know if so ..
Any other means to run MPI programs on different multicore architectures would also help.
Thanks in advance.
Regards,
Vivek
Related
Do Nvidia GPUs support an OpenCL aware MPI, with similar functionality as its CUDA aware MPI?
Also, do AMD GPUs' OpenCL provide such functionality?
I would have thought a simple google search would have answered this, but surprisingly I did not find much info on this while there is a ton of info on CUDA aware MPI!
I'm learning OpenCL and I have a compatible x86 CPU, but my GPU doesn't support OpenCL at all.
So when I call the clGetDevices API, it returns nothing.
As I'm just learning this framework and I'm not looking for optimization or higher performance, is it necessary to get a new system ? (While OpenCL programs are running on my platform)
Thanks in advance :)
http://www.acooke.org/cute/Developing0.html describes how i worked with a cpu (only) a few years ago. basically, the AMD OpenCL driver worked with my Intel CPU.
I was wondering how these two are related to each other.
Could anyone here explain?
Cheers.
They are two implementations of the MPI standard. In the late 90s and early 2000s, there were many different MPI implementations, and the implementors started to realize they were all re-inventing the wheel; there was something of a consolidation. The LAM/MPI team joined with the LA/MPI, FT-MPI, and eventually PACX-MPI teams to develop OpenMPI. LAM MPI stopped being developed in 2007. The code base for OpenMPI was completely new, but it brought in ideas and techniques from all the different teams.
Currently, the two major open-source MPI implementation code-bases are OpenMPI and MPICH2.
I have a script in R that uses loess to find a curve of best fit for some data, integrates that curve and then does some simple arithmitic from there to come up with a number. It is for a testing unit which is handheld, and therefore I need to run it on a microcomputer. There are ones out there with Arm processors which will run linux (520MHz Low-power ARM processor, 128 MB of RAM).
My question is will this have enough power to do the calculations, and will R even run on a system like this?
Any suggestions or insight would be greatly appreciated!
Thanks.
You need to have compatible C and FORTRAN compilers as well as the GNU OS and Linux kernel to build R from sources. The lack of compatible compilers is likely to doom this strategy. I suspect you will have better success using for code from loess and simpleLoess as a template for a compiled version in C.
As to your second question, R can be made to run on ARM processors. See, for example, http://maemo.org/packages/view/r-base-core/ which is a port to Maemo which is an operating system on ARM processors for handheld devices. It also can be compiled for Android: http://rwiki.sciviews.org/doku.php?id=getting-started:installation:android.
As #Carl said, the first question can't be answered without knowing more details.
I stumbled on this post depicting an Open Source HW/SW R-Based Graphing Calculator based on this motherboard!
HIH!
I'm in the research phase of my next computer build. I have the idea in my head of running a hypervisor as the base of the system, but i would want to be able to take a shot at programming opencl with one of the OS's installed on the hypervisor...and maybe some gaming. Would i have enough access to the GPU to be able to achieve this effectively, or am i better off installing an OS that i will do development(and gaming) from and then just virtualize any systems on top of that?
what are your recommendations for a hypervisor, vmware, microsoft or other?
sidenote: Recently graduated with a BS in CS, the massive parallel processing seems like a good idea of something to learn, won't be doing any 'real'/major development work. also, i'm aware that CUDA is more mature in it's development, but i'm sticking with opencl for a few reasons, so please don't try to persuade me.
thanks for your input!
dave k.
whats your focus? Virtualisation or OpenCL?
Hak5 did a nice walkthrough of debian based virtualisation environment ProxMox, but I don't know whether it allows virtual hosts hardware access or OpenCL virtualisation.